Senior Software Engineer

Standard Template Labs

New York (NY)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Equity options
Collaborative office environment

Job summary

An innovative AI startup in New York City is looking for a Senior Software Engineer to lead the development of AI-driven systems. The role involves architecting scalable solutions and integrating AI technologies to enhance enterprise software. Ideal candidates should have a strong background in software engineering and experience with modern programming languages. Competitive compensation and a collaborative work atmosphere are offered.

Qualifications

  • 5+ years of professional software engineering experience.
  • Deep understanding of system design and distributed systems.
  • Strong proficiency in modern programming languages.

Responsibilities

  • Take end-to-end ownership of complex features and systems.
  • Design and evolve AI-native services for product workflows.
  • Write clean and maintainable code.

Skills

Software Engineering
System Design
Cloud-native Architecture
Modern Programming Languages (Go, Python, Java, etc.)
AI-powered Development Workflows
Relational and NoSQL Databases

Tools

Docker
Kubernetes

Job description

Join to apply for the Senior Software Engineer role at Standard Template Labs

Standard Template Labs is a stealth-mode, AI-native startup reimagining the future of IT Service and Configuration Management. Backed by leading investors, we're leveraging AI, graph-based architecture, and exceptional design to transform how enterprises manage and engage with their technology ecosystems.

About the Role

We’re looking for a Senior Software Engineer who thrives in an AI-native environment—someone who’s excited to build scalable, intelligent systems that blend automation, reasoning, and modern infrastructure. You’ll play a key role in architecting and implementing the systems that power our AI-driven platform, helping define how we integrate large language models (LLMs), knowledge graphs, and intelligent workflows into enterprise-scale software. This is a hands‑on role for someone who codes deeply, thinks systemically, and wants to shape the future of AI-augmented engineering.

Responsibilities
AI-Driven Technical Ownership
  • Take end-to-end ownership of complex features and systems—from architecture and implementation to deployment and observability.
  • Design and evolve AI-native services that embed LLMs and reasoning capabilities directly into product workflows.
  • Work cross‑functionally with product, design, and data teams to infuse AI‑powered intelligence into the user and developer experience.
  • Drive architectural decisions that balance rapid experimentation with long‑term scalability and reliability.
Hands‑On Engineering
  • Write clean, high-performance, and maintainable code—often with the help of AI‑assisted tools like Claude, Windsurf, or Cursor.
  • Help define and evolve our AI‑first tech stack, selecting frameworks and tools that accelerate both human and AI-driven development.
  • Build distributed systems, APIs, and data pipelines that serve as the foundation for intelligent automation.
  • Conduct deep code reviews and mentor teammates in leveraging AI coding companions effectively to increase productivity and quality.
  • Optimize performance and reliability across high‑traffic, real‑time systems.
Qualifications
  • 5+ years of professional software engineering experience, delivering large‑scale, production systems.
  • Deep understanding of system design, distributed systems, and cloud‑native architecture.
  • Strong proficiency in one or more modern programming languages (e.g., Go, Python, Rust, Java, C++).
  • Hands‑on experience—or strong interest—in AI‑powered development workflows and tools (Claude, Cursor, Windsurf, etc.).
  • Familiarity with LLM integration, vector databases, and retrieval‑augmented generation (RAG) concepts is a plus.
  • Experience with relational and NoSQL databases, caching strategies, and scalable storage design.
  • Solid understanding of CI/CD pipelines, observability, and modern DevOps practices.
  • Excellent collaboration and communication skills, with a passion for craftsmanship and continuous improvement.
Nice to Have
  • Experience building microservices or event‑driven architectures.
  • Knowledge of containerization and orchestration tools (Docker, Kubernetes).
  • Prior experience with high‑throughput or low‑latency systems.
  • Contributions to open‑source projects or a strong portfolio of technical work.
Why You’ll Love This Role
  • Build core systems for an AI‑native enterprise platform—where AI isn’t an add‑on, it’s the foundation.
  • Work in a team that uses AI as a development accelerator—pairing human expertise with machine intelligence to move fast and build better.
  • Help define modern best practices for AI‑augmented software engineering.
  • Join a focused, collaborative team in Midtown Manhattan—moving quickly, experimenting boldly, and building together.
What We Offer
  • Build foundational product features for an AI‑first enterprise platform
  • The opportunity to take ownership of critical systems that scale to millions of users
  • A culture that values craftsmanship, autonomy, and technical excellence
  • Competitive compensation, equity, and benefits package
  • Work from our Midtown Manhattan office, where you’ll be side‑by‑side with the founding team in a supportive, collaborative setting. Our team works on‑site five days a week, growing and building together, and the location is easy to reach with plenty of public transportation options.

As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.

Seniority Level
  • Mid‑Senior level
Employment Type
  • Full‑time
Job Function
  • Engineering and Information Technology
  • Technology, Information and Internet
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